DocumentCode :
2925101
Title :
Fuzzy Bayesian models for Classification and Diagnosis in Generalized Cardiology Discipline
Author :
Rahnama, Hossein ; Sadeghian, Alireza ; Melek, William
Author_Institution :
Ryerson Univ., Toronto
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
7
Abstract :
There has been a steady progress in creating expert systems capable of diagnosis; however, there exists no generic expert system structure capable of accurately representing medical knowledge and extracting diagnosis in a specific multi-disease medical discipline. This paper aims to justify a standard methodology that can be used in creating a generic expert system model for generic medical domains.
Keywords :
belief networks; cardiology; fuzzy set theory; medical diagnostic computing; medical expert systems; classification; diagnosis; expert systems; fuzzy Bayesian models; generalized cardiology; medical knowledge representation; multidisease medical discipline; Bayesian methods; Cardiac disease; Cardiology; Cardiovascular diseases; Diagnostic expert systems; Knowledge engineering; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Medical tests;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.375951
Filename :
4259867
Link To Document :
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